Predictors of weight variation and weight gain in peri- and post-menopausal women

Filipa Pimenta, João Maroco, Catarina Ramos, Isabel Leal

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This research encompasses a community sample of 497 women in peri- and post-menopause and uses structural equation modelling to investigate the structural models of weight variation and weight gain. Variables such as body shape concerns, depression, stress and life events are explored. Weight gain (from pre-menopause to current menopausal status) was observed in 69 per cent of participants. The predictors of weight gain were lower education level (β = -.146, p = .017), less or no physical exercise (β = -.111, p = .021), having a recent psychological problem (β = .191, p < .001), transition from peri- to post-menopause (β = .147, p = .013) and more frequent body shape concerns (β = .313, p < .001). Prevention of weight gain in premenopause is recommended; risk groups should be targeted considering the predictors of weight increase.

Original languageEnglish
Pages (from-to)993-1002
Number of pages10
JournalJournal of Health Psychology
Volume19
Issue number8
DOIs
Publication statusPublished - Aug 2014
Externally publishedYes

Keywords

  • Body shape
  • Depression
  • Obesity
  • Path analysis
  • Women's health

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